Model reference · open weights
openthaigpt1.5 is an open-weight language model from openthaigpt. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.
Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.
What it is
| Released by | openthaigpt |
|---|---|
| Type | Language models |
| Task | Text gen |
| Parameters (lead) | 7.6B |
| Context | 32k tokens |
| Runs with | transformers |
| Released | 2024-09-30 |
| Popularity | 83k downloads / month |
| Licence | Commercial licence needed |
About
🇹🇭 OpenThaiGPT 7b Version 1.5 is an advanced 7-billion-parameter Thai language chat model based on Qwen v2.5 released on September 30, 2024. It has been specifically fine-tuned on over 2,000,000 Thai instruction pairs and is capable of answering Thai-specific domain questions.
https://demo72b.aieat.or.th/
https://github.com/OpenThaiGPT/openthaigpt1.5_api_examples
📢 OpenThaiGPT is now OpenThai
The project was renamed in July 2026. Released models keep their original names, and this repository path is unchanged and permanent. → openthai.aieat.or.th
| Need | Model |
|---|---|
| ⚖️ Thai law, statute citation, legal RAG | OpenThai 2.0 Legal 30B-A3B ← newest |
| 🧠 Reasoning, maths, logic, code | OpenThaiGPT R1 32B |
| 💬 General Thai chat and coding | OpenThaiGPT 1.6 72B |
| 💻 Limited GPU | OpenThaiGPT 1.5 7B |
ollama run openthai/openthai-1.5-7b
Official GGUF quants (Q4_K_M / Q5_K_M / Q8_0): openthaigpt/openthaigpt1.5-7b-instruct-GGUF — runs in ~8 GB RAM, no GPU needed. Step-by-step guide: openthai.aieat.or.th/ollama
** Please take a look at openthaigpt/openthaigpt1.5-7b-instruct for this model's evaluation result.
| Exam names | scb10x/llama-3-typhoon-v1.5x-8b-instruct | meta-llama/Llama-3.1-7B-Instruct | Qwen/Qwen2.5-7B-Instruct_stat | openthaigpt/openthaigpt1.5-7b |
|---|---|---|---|---|
| 01_a_level | 46.67% | 47.50% | 58.33% | 60.00% |
| 02_tgat | 32.00% | 36.00% | 32.00% | 36.00% |
| 03_tpat1 | 52.50% | 55.00% | 57.50% | 57.50% |
| 04_investment_consult | 56.00% | 48.00% | 68.00% | 76.00% |
| 05_facebook_beleble_th_200 | 78.00% | 73.00% | 79.00% | 81.00% |
| 06_xcopa_th_200 | 79.50% | 69.00% | 80.50% | 81.00% |
| 07_xnli2.0_th_200 | 56.50% | 55.00% | 53.00% | 54.50% |
| 08_onet_m3_thai | 48.00% | 32.00% | 72.00% | 64.00% |
| 09_onet_m3_social | 75.00% | 50.00% | 90.00% | 80.00% |
| 10_onet_m3_math | 25.00% | 18.75% | 31.25% | 31.25% |
| 11_onet_m3_science | 46.15% | 42.31% | 46.15% | 46.15% |
| 12_onet_m3_english | 70.00% | 76.67% | 86.67% | 83.33% |
| 13_onet_m6_thai | 47.69% | 29.23% | 46.15% | 53.85% |
| 14_onet_m6_math | 29.41% | 17.65% | 29.41% | 29.41% |
| 15_onet_m6_social | 50.91% | 43.64% | 56.36% | 58.18% |
| 16_onet_m6_science | 42.86% | 32.14% | 57.14% | 57.14% |
| 17_onet_m6_english | 65.38% | 71.15% |
From the published model card. Full card on the HuggingFace links in the sidebar.
Benchmarks
As published on the model card — the maker's own numbers, not measured by AxForge.
| Task | Dataset | Metric | Score |
|---|---|---|---|
| text-generation | ThaiExam | Thai Exam(Acc) | 52.040 |
| text-generation | M3Exam | M3Exam(Acc) | 54.010 |
Using it via the API
Once AxForge deploys openthaigpt1-5 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (openthaigpt1-5 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"openthaigpt1-5","messages":[{"role":"user","content":"Hello"}]}'
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.